ccmatrix_en-it_subsampled / dataset_infos.json
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{"j0hngou--ccmatrix_en-it_subsampled": {
"description": "CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB\n\nWe show that margin-based bitext mining in LASER's multilingual sentence space can be applied to\nmonolingual corpora of billions of sentences to produce high quality aligned translation data.\nWe use thirty-two snapshots of a curated common crawl corpus [1] totaling 69 billion unique sentences.\nUsing one unified approach for 80 languages, we were able to mine 10.8 billion parallel sentences,\nout of which only 2.9 billion are aligned with English.\n\nIMPORTANT: Please cite reference [2][3] if you use this data.\n\n[1] Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzm\u00e1n, Armand Jouli\n and Edouard Grave, CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data\n\n[2] Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave and Armand Joulin,\n CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB\n\n[3] Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines,\n Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky,\n Sergey Edunov, Edouard Grave, Michael Auli, and Armand Joulin.\n Beyond English-Centric Multilingual Machine Translation\n \n90 languages, 1,197 bitexts\ntotal number of files: 90\ntotal number of tokens: 112.14G\ntotal number of sentence fragments: 7.37G\n",
"citation": " Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzm\u00e1n, Armand Jouli and Edouard Grave, CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data\n",
"homepage": "https://opus.nlpl.eu/CCMatrix.php",
"license": "",
"features": {
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"translation": {
"languages": [
"en",
"it"
],
"id": null,
"_type": "Translation"
}
},
"post_processed": null,
"supervised_keys": null,
"task_templates": null,
"builder_name": "ccmatrix",
"config_name": "en-it",
"version": {
"version_str": "1.0.0",
"description": null,
"major": 1,
"minor": 0,
"patch": 0
},
"splits": {
"train": {
"name": "train",
"num_bytes": 3690754.785,
"num_examples": 15000,
"dataset_name": "ccmatrix_en-it_subsampled"
}
},
"download_checksums": null,
"download_size": 2718319,
"post_processing_size": null,
"dataset_size": 3690754.785,
"size_in_bytes": 6409073.785
}}